Análisis metodológico de enfoques, diseños e instrumentos en estudios de inteligencia artificial en educación superior.

Luis Arturo Cervantes-Gómez; Alejandra Sahagún-García

doi:10.46377/dilemas.v13i2.4841

Luis Arturo Cervantes-Gómez Universidad Autónoma Chapingo https://orcid.org/0009-0005-7564-2133
Alejandra Sahagún-García Universidad Autónoma Chapingo

DOI: https://doi.org/10.46377/dilemas.v13i2.4841

Palabras clave: diseños de investigación, metodología de la investigación, enfoques de investigación, instrumentos de investigación, triangulación metodológica

Resumen

Este artículo examina los enfoques metodológicos, diseños de investigación e instrumentos de recolección de datos utilizados en estudios sobre el impacto de la inteligencia artificial en la Educación Superior a través de un análisis de comparación constante. Se identifican los enfoques más comunes, como la investigación mixta, cuantitativa y cualitativa, y se exploran diseños como el cuasiexperimental y descriptivo; además, se revisan los instrumentos empleados, incluidos encuestas, entrevistas y análisis de rendimiento académico. El artículo concluye que la combinación de estos enfoques metodológicos permite una comprensión integral del impacto de la inteligencia artificial en la educación y propone recomendaciones para futuras investigaciones.

Citas

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